Docker容器建立在OSX上但不是Amazon Linux上

Question

我的Docker容器在OSX上构建良好：

Docker version 17.12.0-ce, build c97c6d6  
docker-compose version 1.18.0, build 8dd22a9

但不构建在Amazon Linux上：

Docker version 17.12.0-ce, build 3dfb8343b139d6342acfd9975d7f1068b5b1c3d3  
docker-compose version 1.20.1, build 5d8c71b

完整Dockerfile：

# Specify base image
FROM andreptb/oracle-java:8-alpine

# Specify author / maintainer
MAINTAINER Douglas Duhaime <douglas.duhaime@gmail.com>

# Add source to a directory and use that directory
# NB: /app is a reserved directory in tomcat container
ENV APP_PATH="/lts-app"
RUN mkdir "$APP_PATH"
ADD . "$APP_PATH"
WORKDIR "$APP_PATH"

##
# Build BlackLab
##

RUN apk add --update --no-cache \
  wget \
  tar \
  git

# Store the path to the maven home
ENV MAVEN_HOME="/usr/lib/maven"

# Add maven and java to the path
ENV PATH="$MAVEN_HOME/bin:$JAVA_HOME/bin:$PATH"

# Install Maven
RUN MAVEN_VERSION="3.3.9" && \
  cd "/tmp" && \
  wget "http://archive.apache.org/dist/maven/maven-3/$MAVEN_VERSION/binaries/apache-maven-$MAVEN_VERSION-bin.tar.gz" -O - | tar xzf - && \
  mv "/tmp/apache-maven-$MAVEN_VERSION" "$MAVEN_HOME" && \
  ln -s "$MAVEN_HOME/bin/mvn" "/usr/bin/mvn" && \
  rm -rf "/tmp/*"

# Get the BlackLab source
RUN git clone "git://github.com/INL/BlackLab.git"

# Build BlackLab with Maven
RUN cd "BlackLab" && \
  mvn clean install

##
# Build Python + Node dependencies
##

# Install system deps with Alpine Linux package manager
RUN apk add --update --no-cache \
  g++ \
  gcc \
  make \
  openssl-dev \
  python3-dev \
  python \
  py-pip \
  nodejs

# Install Python dependencies
RUN pip install -r "requirements.txt" && \
  npm install --no-optional && \
  npm run build

# Store Mongo service name as mongo host
ENV MONGO_HOST=mongo_service
ENV TOMCAT_HOST=tomcat_service
ENV TOMCAT_WEBAPPS=/tomcat_webapps/

# Make ports available
EXPOSE 7082

# Seed the db
CMD npm run seed && \
  gunicorn -b 0.0.0.0:7082 --access-logfile - --reload server.app:app

完整的docker-compose.yml

version: '2'

services:
  tomcat_service:
    image: 'bitnami/tomcat:latest'
    ports:
      - '8080:8080'
    volumes:
      - docker-data-tomcat:/bitnami/tomcat/data/
      - docker-data-blacklab:/lts-app/lts/

  mongo_service:
    image: 'mongo'
    command: mongod
    ports:
      - '27017:27017'

  web:
    # gain access to linked containers
    links:
      - mongo_service
      - tomcat_service
    # explicitly declare service dependencies
    depends_on:
      - mongo_service
      - tomcat_service
    # set environment variables
    environment:
      PYTHONUNBUFFERED: 'true'
    # use the image from the Dockerfile in the cwd
    build: .
    ports:
      - '7082:7082'
    volumes:
      - docker-data-tomcat:/tomcat_webapps
      - docker-data-blacklab:/lts-app/lts/


volumes:
  docker-data-tomcat:
  docker-data-blacklab:

我正在运行的命令是：docker-compose up --build

Amazon Linux上的结果是：

 Running setup.py install for pymongo: started
    Running setup.py install for pymongo: finished with status 'done'
  Running setup.py install for pluggy: started
    Running setup.py install for pluggy: finished with status 'done'
  Running setup.py install for coverage: started
    Running setup.py install for coverage: finished with status 'done'
Successfully installed Faker-0.8.12 Flask-0.12.2 Flask-Cors-3.0.3 Jinja2-2.10 MarkupSafe-1.0 Werkzeug-0.14.1 astroid-1.6.2 attrs-17.4.0 backports.functools-lru-cache-1.5 beautifulsoup4-4.5.1 click-6.7 configparser-3.5.0 coverage-4.5.1 enum34-1.1.6 funcsigs-1.0.2 futures-3.2.0 gunicorn-19.7.1 ipaddress-1.0.19 isort-4.3.4 itsdangerous-0.24 lazy-object-proxy-1.3.1 mccabe-0.6.1 more-itertools-4.1.0 pluggy-0.6.0 py-1.5.3 py4j-0.10.6 pylint-1.8.3 pymongo-3.6.1 pytest-3.5.0 pytest-cov-2.5.1 python-dateutil-2.7.2 singledispatch-3.4.0.3 six-1.11.0 text-unidecode-1.2 wrapt-1.10.11
You are using pip version 8.1.2, however version 9.0.3 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
npm WARN deprecated redux-mock-store@1.5.1: breaking changes in minor version

> base62@1.2.7 postinstall /lts-app/node_modules/base62
> node scripts/install-stats.js || exit 0



ERROR: Service 'web' failed to build: The command '/bin/sh -c pip install -r "requirements.txt" &&   npm install --no-optional &&   npm run build' returned a non-zero code: 1

有谁知道可能导致这种差异的原因是什么？来自Docker的错误消息没有提供很多线索。我会非常感谢别人可以提供的任何想法！

Answer 1

为了解决这个问题，我按照@ MazelTov的建议，在我当地的OSX开发机器上构建容器，然后将图像发布到Docker Cloud，然后将这些图像下载到我的生产服务器（AWS EC2）上并运行图像

安装依赖项

我会尝试概述下面的步骤，以防他人帮助他人。请注意，这些步骤要求您在开发和生产计算机上安装docker和docker-compose。我使用gui安装程序安装Docker for Mac。

构建图像

编写Dockerfile和docker-compose.yml文件后，您可以使用docker-compose up --build构建图像。

将图像上传到Docker Cloud

构建图像后，您可以按照以下步骤将它们上传到Docker Cloud。首先，在Docker Cloud上创建一个帐户。

然后将您的Docker Cloud用户名存储在环境变量中（因此~/.bash_profile应包含export DOCKER_ID_USER='yaledhlab'（尽管使用您的用户名）。

接下来从您的开发者计算机登录您的帐户：

docker login

登录后，列出泊坞窗图片：

docker ps

这将显示如下内容：

CONTAINER ID        IMAGE                          COMMAND                  CREATED             STATUS              PORTS                      NAMES
89478c386661        yaledhlab/let-them-speak-web   "/bin/sh -c 'npm run…"   About an hour ago   Up About an hour    0.0.0.0:7082->7082/tcp     letthemspeak_web_1
5e9c75d29051        training/webapp:latest         "python app.py"          4 hours ago         Up 4 hours          0.0.0.0:5000->5000/tcp     heuristic_mirzakhani
890f7f1dc777        bitnami/tomcat:latest          "/app-entrypoint.sh …"   4 hours ago         Up About an hour    0.0.0.0:8080->8080/tcp     letthemspeak_tomcat_service_1
09d74e36584d        mongo                          "docker-entrypoint.s…"   4 hours ago         Up About an hour    0.0.0.0:27017->27017/tcp   letthemspeak_mongo_service_1

对于要发布到Docker Cloud的每个图像，请运行：

docker tag image_name $DOCKER_ID_USER/my-uploaded-image-name
docker push $DOCKER_ID_USER/my-uploaded-image-name

例如，要将mywebapp_web上传到Docker云上的用户帐户，您可以运行：

docker tag mywebapp_web $DOCKER_ID_USER/web
docker push $DOCKER_ID_USER/web

然后，您可以open https://cloud.docker.com/swarm/$DOCKER_ID_USER/repository/list运行以查看上传的图片。

部署图像

最后，您可以按照以下步骤在EC2上部署图像。首先，在Amazon风格的EC2实例上安装Docker和Docker-Compose：

# install docker
sudo yum install docker -y

# start docker
sudo service docker start

# allow ec2-user to run docker
sudo usermod -a -G docker ec2-user

# get the docker-compose binaries
sudo curl -L https://github.com/docker/compose/releases/download/1.20.1/docker-compose-`uname -s`-`uname -m` -o /usr/local/bin/docker-compose

# change the permissions on the source
sudo chmod +x /usr/local/bin/docker-compose

退出，然后重新登录以更新用户的群组。然后启动一个屏幕并运行服务器：screen。屏幕启动后，您应该能够添加一个新的docker-compose配置文件，该文件指定已部署映像的路径。例如，我需要获取位于let-them-speak-web的Docker Cloud帐户中的yaledhlab容器，因此我将上面的docker-compose.yml文件更改为以下文件，我将其命名为{{1} }：

production.yml

然后可以使用：version: '2' services: tomcat_service: image: 'bitnami/tomcat:latest' ports: - '8080:8080' volumes: - docker-data-tomcat:/bitnami/tomcat/data/ - docker-data-blacklab:/lts-app/lts/ mongo_service: image: 'mongo' command: mongod ports: - '27017:27017' web: image: 'yaledhlab/let-them-speak-web' # gain access to linked containers links: - mongo_service - tomcat_service # explicitly declare service dependencies depends_on: - mongo_service - tomcat_service # set environment variables environment: PYTHONUNBUFFERED: 'true' ports: - '7082:7082' volumes: - docker-data-tomcat:/tomcat_webapps - docker-data-blacklab:/lts-app/lts/ volumes: docker-data-tomcat: docker-data-blacklab: 运行生产撰写文件。最后，使用另一个终端ssh，并使用docker-compose -f production.yml up分隔屏幕。